Step 1 Importing Libraries

Step 2 Reading data file into a python data frame

Step 3 Statistical Summary

Step 4 Checking for null values

Step 5 Dumping unwanted columns

Here we deleted colums that were not suitable for the purpose of the analysis for our business problem

As you can see now we have left with a Dataframe that is only 49 columns down from 118 columns

Step 6 Exploring for insights at State level

There are many valuable varibles from the above list but for the starter let's select population and state columns.

So there are many states which can be selected for our start up to launch their services in solely based on population count.

Most likely more business will be generssated from states like :

  • Rajasthan
  • Uttarpradesh
  • Bihar
  • West Bengal
  • Madhya Pradesh
  • Gujarat
  • Maharastra
  • Andhar Pradesh
  • Karnataka
  • and Tamil Nadu </b> Note :- These are states with population greater than 50 Millions and this does not visualize whole scenario it is just a speculation based on Total population count of the above given states.